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A Robust Descriptor Approach for Nonlinear Tracking Control of Serial Robots

Abstract : This paper presents a method for the control design of a two degrees of freedom (2-DoF) serial manipulator using descriptor Takagi-Sugeno modelling. The design goal is to achieve a guaranteed H∞ model reference tracking performance while significantly reducing the numerical complexity of the designed controller through a robust control scheme. Based on Lyapunov stability theory, the control design is formulated as an LMI (linear matrix inequality) optimization problem. Simulation results carried out with the SimMechanics environment clearly demonstrate the effectiveness of the proposed method.
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https://hal-uphf.archives-ouvertes.fr/hal-03408418
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Submitted on : Friday, October 29, 2021 - 10:25:05 AM
Last modification on : Wednesday, November 10, 2021 - 9:30:02 AM

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Tran Anh-Tu Nguyen, van Anh Nguyen Thi, Antoine Dequidt, Laurent Vermeiren, Michel Dambrine. A Robust Descriptor Approach for Nonlinear Tracking Control of Serial Robots. 57th IEEE Conference on Decision and Control (CDC), Dec 2018, Miami Beach, FL, United States. pp.6906-6911, ⟨10.1109/CDC.2018.8619750⟩. ⟨hal-03408418⟩

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